Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	130
Missing cells	170
Missing cells (%)	4.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	29.6 KiB
Average record size in memory	233.0 B

Variable types

Numeric	9
Categorical	20

Alerts

`airdate` has constant value "2020-12-03"	Constant
`url` has a high cardinality: 130 distinct values	High cardinality
`name` has a high cardinality: 118 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 86 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 85 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 65 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 76 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 72 distinct values	High cardinality
`_links_self_href` has a high cardinality: 130 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_name` and 12 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_name` and 5 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`summary` is highly correlated with `airdate` and 1 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_name` and 5 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`id` is highly correlated with `airtime` and 13 other fields	High correlation
`season` is highly correlated with `number` and 10 other fields	High correlation
`number` is highly correlated with `season` and 11 other fields	High correlation
`type` is highly correlated with `runtime` and 5 other fields	High correlation
`airtime` is highly correlated with `id` and 15 other fields	High correlation
`airstamp` is highly correlated with `id` and 12 other fields	High correlation
`runtime` is highly correlated with `season` and 14 other fields	High correlation
`image` is highly correlated with `id` and 20 other fields	High correlation
`summary` is highly correlated with `image` and 3 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_type` is highly correlated with `season` and 18 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `image` and 13 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 14 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `season` and 13 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 22 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 14 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `id` and 6 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_updated` is highly correlated with `airstamp` and 12 other fields	High correlation
`number` has 3 (2.3%) missing values	Missing
`runtime` has 17 (13.1%) missing values	Missing
`image` has 99 (76.2%) missing values	Missing
`_embedded_show_runtime` has 40 (30.8%) missing values	Missing
`_embedded_show_averageRuntime` has 11 (8.5%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:00:20.640956
Analysis finished	2022-05-10 02:00:59.018317
Duration	38.38 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	130
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2003972.723

Minimum	1944214
Maximum	2289865
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1944214
5-th percentile	1953909.6
Q1	1972802.5
median	1979297.5
Q3	1999103.25
95-th percentile	2173298.5
Maximum	2289865
Range	345651
Interquartile range (IQR)	26300.75

Descriptive statistics

Standard deviation	67600.26158
Coefficient of variation (CV)	0.03373312461
Kurtosis	6.431935491
Mean	2003972.723
Median Absolute Deviation (MAD)	9739
Skewness	2.597218689
Sum	260516454
Variance	4569795366
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1979825	1	0.8%
1964391	1	0.8%
1973893	1	0.8%
1998528	1	0.8%
1965264	1	0.8%
2289376	1	0.8%
2289865	1	0.8%
2125344	1	0.8%
2071804	1	0.8%
2024908	1	0.8%
Other values (120)	120	92.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1944214	1	0.8%
1944882	1	0.8%
1947707	1	0.8%
1950365	1	0.8%
1950699	1	0.8%
1953464	1	0.8%
1953465	1	0.8%
1954453	1	0.8%
1958960	1	0.8%
1958961	1	0.8%

Value	Count	Frequency (%)
2289865	1	0.8%
2289376	1	0.8%
2236491	1	0.8%
2205969	1	0.8%
2205968	1	0.8%
2189551	1	0.8%
2176120	1	0.8%
2169850	1	0.8%
2169199	1	0.8%
2153992	1	0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	130
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://www.tvmaze.com/episodes/1979825/sim-for-you-4x17-chanyeols-episode-17	1
https://www.tvmaze.com/episodes/1964391/as-five-1x04-como-pode-um-peixe-vivo	1
https://www.tvmaze.com/episodes/1973893/sesame-street-51x04-bye-bye-boo-boos	1
https://www.tvmaze.com/episodes/1998528/mermaid-prince-1x14-episode-14	1
https://www.tvmaze.com/episodes/1965264/oh-mando-1x05-episode-5	1
Other values (125)	125

Length

Max length	139
Median length	98.5
Mean length	80.93076923
Min length	55

Characters and Unicode

Total characters	10521
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	130 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1979825/sim-for-you-4x17-chanyeols-episode-17
2nd row	https://www.tvmaze.com/episodes/1963996/257-pricin-ctoby-zit-2x06-seria-19
3rd row	https://www.tvmaze.com/episodes/1960726/psih-1x05-revnost
4th row	https://www.tvmaze.com/episodes/1954453/serlok-v-rossii-1x07-serdce-holmsa-i
5th row	https://www.tvmaze.com/episodes/1969558/neznost-1x10-seria-10

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979825/sim-for-you-4x17-chanyeols-episode-17	1	0.8%
https://www.tvmaze.com/episodes/1964391/as-five-1x04-como-pode-um-peixe-vivo	1	0.8%
https://www.tvmaze.com/episodes/1973893/sesame-street-51x04-bye-bye-boo-boos	1	0.8%
https://www.tvmaze.com/episodes/1998528/mermaid-prince-1x14-episode-14	1	0.8%
https://www.tvmaze.com/episodes/1965264/oh-mando-1x05-episode-5	1	0.8%
https://www.tvmaze.com/episodes/2289376/blippi-2020-12-03-blippi-visits-the-science-museum-for-children-educational-videos-for-kids	1	0.8%
https://www.tvmaze.com/episodes/2289865/discover-destination-ua-2x13-kherson-region-ukraine-day-2	1	0.8%
https://www.tvmaze.com/episodes/2125344/jessis-showterview-2020-12-03-ep26-with-joon-park	1	0.8%
https://www.tvmaze.com/episodes/2071804/al-saleet-akhbar-8x42-mlwn-abwk-ya-far	1	0.8%
https://www.tvmaze.com/episodes/2024908/el-anesa-farah-2x15-episode-15	1	0.8%
Other values (120)	120	92.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979825/sim-for-you-4x17-chanyeols-episode-17	1	0.8%
https://www.tvmaze.com/episodes/1979371/melon-music-awards-2020-12-03-day-2	1	0.8%
https://www.tvmaze.com/episodes/1954453/serlok-v-rossii-1x07-serdce-holmsa-i	1	0.8%
https://www.tvmaze.com/episodes/1969558/neznost-1x10-seria-10	1	0.8%
https://www.tvmaze.com/episodes/1969559/neznost-1x11-seria-11	1	0.8%
https://www.tvmaze.com/episodes/1979224/kotiki-1x04-seria-4	1	0.8%
https://www.tvmaze.com/episodes/1971568/mermaid-prince-2x08-episode-8	1	0.8%
https://www.tvmaze.com/episodes/1985785/theres-a-pit-in-my-senior-martial-brothers-brain-2x07-episode-7	1	0.8%
https://www.tvmaze.com/episodes/1944214/quan-zhi-gao-shou-2x11-little-cold-hands	1	0.8%
https://www.tvmaze.com/episodes/1972555/the-wolf-1x13-episode-13	1	0.8%
Other values (120)	120	92.3%

Most occurring characters

Value	Count	Frequency (%)
e	869	8.3%
-	793	7.5%
s	686	6.5%
t	674	6.4%
/	650	6.2%
o	589	5.6%
w	449	4.3%
a	437	4.2%
i	387	3.7%
p	368	3.5%
Other values (30)	4619	43.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7242	68.8%
Decimal Number	1446	13.7%
Other Punctuation	1040	9.9%
Dash Punctuation	793	7.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	869	12.0%
s	686	9.5%
t	674	9.3%
o	589	8.1%
w	449	6.2%
a	437	6.0%
i	387	5.3%
p	368	5.1%
m	356	4.9%
h	286	3.9%
Other values (16)	2141	29.6%

Decimal Number

Value	Count	Frequency (%)
1	340	23.5%
9	183	12.7%
0	171	11.8%
2	167	11.5%
8	112	7.7%
6	100	6.9%
7	99	6.8%
5	98	6.8%
3	91	6.3%
4	85	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	650	62.5%
.	260	25.0%
:	130	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	793	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7242	68.8%
Common	3279	31.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	869	12.0%
s	686	9.5%
t	674	9.3%
o	589	8.1%
w	449	6.2%
a	437	6.0%
i	387	5.3%
p	368	5.1%
m	356	4.9%
h	286	3.9%
Other values (16)	2141	29.6%

Common

Value	Count	Frequency (%)
-	793	24.2%
/	650	19.8%
1	340	10.4%
.	260	7.9%
9	183	5.6%
0	171	5.2%
2	167	5.1%
:	130	4.0%
8	112	3.4%
6	100	3.0%
Other values (4)	373	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10521	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	869	8.3%
-	793	7.5%
s	686	6.5%
t	674	6.4%
/	650	6.2%
o	589	5.6%
w	449	4.3%
a	437	4.2%
i	387	3.7%
p	368	3.5%
Other values (30)	4619	43.9%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	118
Distinct (%)	90.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Episode 5	3
Episode 3	3
Episode 1	3
Episode 22	3
Episode 14	2
Other values (113)	116

Length

Max length	91
Median length	48
Mean length	17.86153846
Min length	5

Characters and Unicode

Total characters	2322
Distinct characters	130
Distinct categories	11 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	110 ?
Unique (%)	84.6%

Sample

1st row	Chanyeol's Episode 17
2nd row	Серия 19
3rd row	Ревность
4th row	Сердце Холмса I
5th row	Серия 10

Common Values

Value	Count	Frequency (%)
Episode 5	3	2.3%
Episode 3	3	2.3%
Episode 1	3	2.3%
Episode 22	3	2.3%
Episode 14	2	1.5%
Episode 15	2	1.5%
The Sanctuary	2	1.5%
Episode 21	2	1.5%
Meet other guy at my birthday	1	0.8%
ملعون أبوك يا فأر	1	0.8%
Other values (108)	108	83.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	34	8.5%
the	15	3.7%
	5	1.2%
3	4	1.0%
серия	4	1.0%
a	4	1.0%
17	3	0.7%
2	3	0.7%
5	3	0.7%
1	3	0.7%
Other values (301)	324	80.6%

Most occurring characters

Value	Count	Frequency (%)
	272	11.7%
e	194	8.4%
o	131	5.6%
i	124	5.3%
a	111	4.8%
s	101	4.3%
n	78	3.4%
r	77	3.3%
t	75	3.2%
d	74	3.2%
Other values (120)	1085	46.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1569	67.6%
Uppercase Letter	335	14.4%
Space Separator	272	11.7%
Decimal Number	87	3.7%
Other Punctuation	24	1.0%
Other Letter	23	1.0%
Close Punctuation	4	0.2%
Open Punctuation	4	0.2%
Math Symbol	2	0.1%
Modifier Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	194	12.4%
o	131	8.3%
i	124	7.9%
a	111	7.1%
s	101	6.4%
n	78	5.0%
r	77	4.9%
t	75	4.8%
d	74	4.7%
l	61	3.9%
Other values (46)	543	34.6%

Uppercase Letter

Value	Count	Frequency (%)
E	56	16.7%
T	25	7.5%
S	22	6.6%
B	19	5.7%
P	18	5.4%
H	16	4.8%
L	16	4.8%
A	15	4.5%
R	15	4.5%
C	14	4.2%
Other values (24)	119	35.5%

Other Letter

Value	Count	Frequency (%)
ل	3	13.0%
ا	3	13.0%
ق	2	8.7%
م	2	8.7%
و	2	8.7%
أ	2	8.7%
ع	1	4.3%
ن	1	4.3%
ب	1	4.3%
ك	1	4.3%
Other values (5)	5	21.7%

Decimal Number

Value	Count	Frequency (%)
1	26	29.9%
2	18	20.7%
4	8	9.2%
5	7	8.0%
3	7	8.0%
7	6	6.9%
0	6	6.9%
6	4	4.6%
9	3	3.4%
8	2	2.3%

Other Punctuation

Value	Count	Frequency (%)
'	6	25.0%
,	5	20.8%
&	3	12.5%
:	2	8.3%
!	2	8.3%
?	2	8.3%
"	2	8.3%
.	1	4.2%
#	1	4.2%

Space Separator

Value	Count	Frequency (%)
	272	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1719	74.0%
Common	395	17.0%
Cyrillic	185	8.0%
Arabic	23	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	194	11.3%
o	131	7.6%
i	124	7.2%
a	111	6.5%
s	101	5.9%
n	78	4.5%
r	77	4.5%
t	75	4.4%
d	74	4.3%
l	61	3.5%
Other values (46)	693	40.3%

Cyrillic

Value	Count	Frequency (%)
о	17	9.2%
а	17	9.2%
р	17	9.2%
е	16	8.6%
т	16	8.6%
и	14	7.6%
д	8	4.3%
н	8	4.3%
с	8	4.3%
в	7	3.8%
Other values (24)	57	30.8%

Common

Value	Count	Frequency (%)
	272	68.9%
1	26	6.6%
2	18	4.6%
4	8	2.0%
5	7	1.8%
3	7	1.8%
'	6	1.5%
7	6	1.5%
0	6	1.5%
,	5	1.3%
Other values (15)	34	8.6%

Arabic

Value	Count	Frequency (%)
ل	3	13.0%
ا	3	13.0%
ق	2	8.7%
م	2	8.7%
و	2	8.7%
أ	2	8.7%
ع	1	4.3%
ن	1	4.3%
ب	1	4.3%
ك	1	4.3%
Other values (5)	5	21.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2098	90.4%
Cyrillic	185	8.0%
Arabic	23	1.0%
None	16	0.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	272	13.0%
e	194	9.2%
o	131	6.2%
i	124	5.9%
a	111	5.3%
s	101	4.8%
n	78	3.7%
r	77	3.7%
t	75	3.6%
d	74	3.5%
Other values (65)	861	41.0%

Cyrillic

Value	Count	Frequency (%)
о	17	9.2%
а	17	9.2%
р	17	9.2%
е	16	8.6%
т	16	8.6%
и	14	7.6%
д	8	4.3%
н	8	4.3%
с	8	4.3%
в	7	3.8%
Other values (24)	57	30.8%

None

Value	Count	Frequency (%)
ł	5	31.2%
ę	4	25.0%
ø	3	18.8%
ś	2	12.5%
ń	1	6.2%
ż	1	6.2%

Arabic

Value	Count	Frequency (%)
ل	3	13.0%
ا	3	13.0%
ق	2	8.7%
م	2	8.7%
و	2	8.7%
أ	2	8.7%
ع	1	4.3%
ن	1	4.3%
ب	1	4.3%
ك	1	4.3%
Other values (5)	5	21.7%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	12.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127.2461538

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	486.6130542
Coefficient of variation (CV)	3.82418674
Kurtosis	11.80430336
Mean	127.2461538
Median Absolute Deviation (MAD)	0
Skewness	3.690416771
Sum	16542
Variance	236792.2645
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
1	89	68.5%
2	11	8.5%
2020	8	6.2%
4	5	3.8%
8	3	2.3%
3	3	2.3%
5	2	1.5%
10	1	0.8%
54	1	0.8%
13	1	0.8%
Other values (6)	6	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	89	68.5%
2	11	8.5%
3	3	2.3%
4	5	3.8%
5	2	1.5%
7	1	0.8%
8	3	2.3%
9	1	0.8%
10	1	0.8%
13	1	0.8%

Value	Count	Frequency (%)
2020	8	6.2%
54	1	0.8%
51	1	0.8%
31	1	0.8%
18	1	0.8%
15	1	0.8%
13	1	0.8%
10	1	0.8%
9	1	0.8%
8	3	2.3%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	35.4%
Missing	3
Missing (%)	2.3%
Infinite	0
Infinite (%)	0.0%
Mean	21.81102362

Minimum	1
Maximum	330
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1.3
Q1	4
median	8
Q3	21.5
95-th percentile	74.8
Maximum	330
Range	329
Interquartile range (IQR)	17.5

Descriptive statistics

Standard deviation	43.42841808
Coefficient of variation (CV)	1.991122417
Kurtosis	30.93755623
Mean	21.81102362
Median Absolute Deviation (MAD)	5
Skewness	5.133349789
Sum	2770
Variance	1886.027497
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
4	14	10.8%
5	10	7.7%
8	8	6.2%
3	7	5.4%
1	7	5.4%
7	7	5.4%
2	7	5.4%
10	6	4.6%
11	5	3.8%
6	5	3.8%
Other values (35)	51	39.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	5.4%
2	7	5.4%
3	7	5.4%
4	14	10.8%
5	10	7.7%
6	5	3.8%
7	7	5.4%
8	8	6.2%
9	1	0.8%
10	6	4.6%

Value	Count	Frequency (%)
330	1	0.8%
289	1	0.8%
144	1	0.8%
118	1	0.8%
107	1	0.8%
95	1	0.8%
82	1	0.8%
58	1	0.8%
56	1	0.8%
52	1	0.8%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

regular	127
insignificant_special	3

Length

Max length	21
Median length	7
Mean length	7.323076923
Min length	7

Characters and Unicode

Total characters	952
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	127	97.7%
insignificant_special	3	2.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	127	97.7%
insignificant_special	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
r	254	26.7%
a	133	14.0%
e	130	13.7%
g	130	13.7%
l	130	13.7%
u	127	13.3%
i	15	1.6%
n	9	0.9%
s	6	0.6%
c	6	0.6%
Other values (4)	12	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	949	99.7%
Connector Punctuation	3	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	254	26.8%
a	133	14.0%
e	130	13.7%
g	130	13.7%
l	130	13.7%
u	127	13.4%
i	15	1.6%
n	9	0.9%
s	6	0.6%
c	6	0.6%
Other values (3)	9	0.9%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	949	99.7%
Common	3	0.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	254	26.8%
a	133	14.0%
e	130	13.7%
g	130	13.7%
l	130	13.7%
u	127	13.4%
i	15	1.6%
n	9	0.9%
s	6	0.6%
c	6	0.6%
Other values (3)	9	0.9%

Common

Value	Count	Frequency (%)
_	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	952	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	254	26.7%
a	133	14.0%
e	130	13.7%
g	130	13.7%
l	130	13.7%
u	127	13.3%
i	15	1.6%
n	9	0.9%
s	6	0.6%
c	6	0.6%
Other values (4)	12	1.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-03	130

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1300
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-03
2nd row	2020-12-03
3rd row	2020-12-03
4th row	2020-12-03
5th row	2020-12-03

Common Values

Value	Count	Frequency (%)
2020-12-03	130	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-03	130	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	390	30.0%
0	390	30.0%
-	260	20.0%
1	130	10.0%
3	130	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1040	80.0%
Dash Punctuation	260	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	390	37.5%
0	390	37.5%
1	130	12.5%
3	130	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	260	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1300	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	390	30.0%
0	390	30.0%
-	260	20.0%
1	130	10.0%
3	130	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1300	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	390	30.0%
0	390	30.0%
-	260	20.0%
1	130	10.0%
3	130	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	94
20:00	13
06:00	5
12:00	4
21:00	3
Other values (9)	11

Length

Max length	5
Median length	3
Mean length	3.553846154
Min length	3

Characters and Unicode

Total characters	462
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	5.4%

Sample

1st row	06:00
2nd row	nan
3rd row	12:00
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	94	72.3%
20:00	13	10.0%
06:00	5	3.8%
12:00	4	3.1%
21:00	3	2.3%
11:00	2	1.5%
18:00	2	1.5%
17:35	1	0.8%
17:00	1	0.8%
20:20	1	0.8%
Other values (4)	4	3.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	94	72.3%
20:00	13	10.0%
06:00	5	3.8%
12:00	4	3.1%
21:00	3	2.3%
11:00	2	1.5%
18:00	2	1.5%
17:35	1	0.8%
17:00	1	0.8%
20:20	1	0.8%
Other values (4)	4	3.1%

Most occurring characters

Value	Count	Frequency (%)
n	188	40.7%
a	94	20.3%
0	88	19.0%
:	36	7.8%
2	23	5.0%
1	18	3.9%
6	5	1.1%
5	3	0.6%
8	2	0.4%
7	2	0.4%
Other values (2)	3	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	282	61.0%
Decimal Number	144	31.2%
Other Punctuation	36	7.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	88	61.1%
2	23	16.0%
1	18	12.5%
6	5	3.5%
5	3	2.1%
8	2	1.4%
7	2	1.4%
9	2	1.4%
3	1	0.7%

Lowercase Letter

Value	Count	Frequency (%)
n	188	66.7%
a	94	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	36	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	282	61.0%
Common	180	39.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	88	48.9%
:	36	20.0%
2	23	12.8%
1	18	10.0%
6	5	2.8%
5	3	1.7%
8	2	1.1%
7	2	1.1%
9	2	1.1%
3	1	0.6%

Latin

Value	Count	Frequency (%)
n	188	66.7%
a	94	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	462	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	188	40.7%
a	94	20.3%
0	88	19.0%
:	36	7.8%
2	23	5.0%
1	18	3.9%
6	5	1.1%
5	3	0.6%
8	2	0.4%
7	2	0.4%
Other values (2)	3	0.6%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	16.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-03T12:00:00+00:00	49
2020-12-03T17:00:00+00:00	28
2020-12-03T04:00:00+00:00	11
2020-12-03T11:00:00+00:00	8
2020-12-03T00:00:00+00:00	6
Other values (17)	28

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	3250
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	8.5%

Sample

1st row	2020-12-02T21:00:00+00:00
2nd row	2020-12-03T00:00:00+00:00
3rd row	2020-12-03T00:00:00+00:00
4th row	2020-12-03T00:00:00+00:00
5th row	2020-12-03T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-03T12:00:00+00:00	49	37.7%
2020-12-03T17:00:00+00:00	28	21.5%
2020-12-03T04:00:00+00:00	11	8.5%
2020-12-03T11:00:00+00:00	8	6.2%
2020-12-03T00:00:00+00:00	6	4.6%
2020-12-03T09:00:00+00:00	4	3.1%
2020-12-03T05:00:00+00:00	4	3.1%
2020-12-03T14:00:00+00:00	3	2.3%
2020-12-03T08:00:00+00:00	2	1.5%
2020-12-03T13:00:00+00:00	2	1.5%
Other values (12)	13	10.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-03t12:00:00+00:00	49	37.7%
2020-12-03t17:00:00+00:00	28	21.5%
2020-12-03t04:00:00+00:00	11	8.5%
2020-12-03t11:00:00+00:00	8	6.2%
2020-12-03t00:00:00+00:00	6	4.6%
2020-12-03t09:00:00+00:00	4	3.1%
2020-12-03t05:00:00+00:00	4	3.1%
2020-12-03t14:00:00+00:00	3	2.3%
2020-12-03t08:00:00+00:00	2	1.5%
2020-12-03t13:00:00+00:00	2	1.5%
Other values (12)	13	10.0%

Most occurring characters

Value	Count	Frequency (%)
0	1467	45.1%
2	445	13.7%
:	390	12.0%
-	260	8.0%
1	234	7.2%
3	133	4.1%
T	130	4.0%
+	130	4.0%
7	29	0.9%
4	14	0.4%
Other values (4)	18	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2340	72.0%
Other Punctuation	390	12.0%
Dash Punctuation	260	8.0%
Uppercase Letter	130	4.0%
Math Symbol	130	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1467	62.7%
2	445	19.0%
1	234	10.0%
3	133	5.7%
7	29	1.2%
4	14	0.6%
5	8	0.3%
9	5	0.2%
8	4	0.2%
6	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
:	390	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	260	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	130	100.0%

Math Symbol

Value	Count	Frequency (%)
+	130	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3120	96.0%
Latin	130	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1467	47.0%
2	445	14.3%
:	390	12.5%
-	260	8.3%
1	234	7.5%
3	133	4.3%
+	130	4.2%
7	29	0.9%
4	14	0.4%
5	8	0.3%
Other values (3)	10	0.3%

Latin

Value	Count	Frequency (%)
T	130	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3250	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1467	45.1%
2	445	13.7%
:	390	12.0%
-	260	8.0%
1	234	7.2%
3	133	4.1%
T	130	4.0%
+	130	4.0%
7	29	0.9%
4	14	0.4%
Other values (4)	18	0.6%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	38.1%
Missing	17
Missing (%)	13.1%
Infinite	0
Infinite (%)	0.0%
Mean	36.78761062

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2
5-th percentile	10.6
Q1	14
median	30
Q3	45
95-th percentile	60
Maximum	300
Range	298
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	38.07217097
Coefficient of variation (CV)	1.034918287
Kurtosis	26.8935146
Mean	36.78761062
Median Absolute Deviation (MAD)	15
Skewness	4.580438795
Sum	4157
Variance	1449.490202
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
45	21	16.2%
11	11	8.5%
20	8	6.2%
12	7	5.4%
30	7	5.4%
60	6	4.6%
13	4	3.1%
52	3	2.3%
25	3	2.3%
21	3	2.3%
Other values (33)	40	30.8%
(Missing)	17	13.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.8%
4	1	0.8%
7	1	0.8%
8	1	0.8%
9	1	0.8%
10	1	0.8%
11	11	8.5%
12	7	5.4%
13	4	3.1%
14	1	0.8%

Value	Count	Frequency (%)
300	1	0.8%
240	1	0.8%
140	1	0.8%
120	1	0.8%
66	1	0.8%
60	6	4.6%
56	1	0.8%
53	1	0.8%
52	3	2.3%
50	2	1.5%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	31
Distinct (%)	100.0%
Missing	99
Missing (%)	76.2%
Memory size	1.1 KiB

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752690.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752690.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732255.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732255.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/363/908139.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/363/908139.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726709.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726709.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/731762.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/731762.jpg'}	1
Other values (26)	26

Length

Max length	178
Median length	176
Mean length	176.0645161
Min length	176

Characters and Unicode

Total characters	5458
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752690.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752690.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/312/781439.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/312/781439.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/312/781441.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/312/781441.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716106.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716106.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/277/694629.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/277/694629.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752690.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752690.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732255.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732255.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/363/908139.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/363/908139.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726709.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726709.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/731762.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/731762.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723344.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723344.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723350.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723350.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723349.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723349.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/327/818567.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/327/818567.jpg'}	1	0.8%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/327/818566.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/327/818566.jpg'}	1	0.8%
Other values (21)	21	16.2%
(Missing)	99	76.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	31	25.0%
original	31	25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720609.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/286/716044.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/390/977053.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/390/977053.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/390/977052.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/390/977052.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716053.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/286/716053.jpg	1	0.8%
Other values (54)	54	43.5%

Most occurring characters

Value	Count	Frequency (%)
/	434	8.0%
a	372	6.8%
t	341	6.2%
m	310	5.7%
i	310	5.7%
s	279	5.1%
e	248	4.5%
'	248	4.5%
o	217	4.0%
p	217	4.0%
Other values (28)	2482	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3658	67.0%
Other Punctuation	1023	18.7%
Decimal Number	560	10.3%
Space Separator	93	1.7%
Connector Punctuation	62	1.1%
Close Punctuation	31	0.6%
Open Punctuation	31	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	372	10.2%
t	341	9.3%
m	310	8.5%
i	310	8.5%
s	279	7.6%
e	248	6.8%
o	217	5.9%
p	217	5.9%
g	186	5.1%
c	186	5.1%
Other values (9)	992	27.1%

Decimal Number

Value	Count	Frequency (%)
2	90	16.1%
7	88	15.7%
1	58	10.4%
3	56	10.0%
6	56	10.0%
9	56	10.0%
8	52	9.3%
0	42	7.5%
4	32	5.7%
5	30	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	434	42.4%
'	248	24.2%
.	186	18.2%
:	124	12.1%
,	31	3.0%

Space Separator

Value	Count	Frequency (%)
	93	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	62	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	31	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	31	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3658	67.0%
Common	1800	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	434	24.1%
'	248	13.8%
.	186	10.3%
:	124	6.9%
	93	5.2%
2	90	5.0%
7	88	4.9%
_	62	3.4%
1	58	3.2%
3	56	3.1%
Other values (9)	361	20.1%

Latin

Value	Count	Frequency (%)
a	372	10.2%
t	341	9.3%
m	310	8.5%
i	310	8.5%
s	279	7.6%
e	248	6.8%
o	217	5.9%
p	217	5.9%
g	186	5.1%
c	186	5.1%
Other values (9)	992	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	434	8.0%
a	372	6.8%
t	341	6.2%
m	310	5.7%
i	310	5.7%
s	279	5.1%
e	248	4.5%
'	248	4.5%
o	217	4.0%
p	217	4.0%
Other values (28)	2482	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	36.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	84
<p>When a ruthless demon with the ability to inhabit the body of any living being comes to Earth, not even Boner is safe.</p>	1
<p>When a gallery coordinator named Lama is stuck in an inescapable hole with Ali the artist, they push each other to confront the dark side of their lives.</p>	1
<p>Krisha joins the rest of the theater group in staging an LGBTQIA+ rally for their theater adviser, Mr. Siwa. Amidst the chaos of preparations, Vince and Leslie uncover Barry and Mando's secret.</p>	1
<p>Keyla auditions for a musical show. Benê starts giving piano lessons to Nem. Lica gets a freelancer. Tina moves into Lica's house.</p>	1
Other values (42)	42

Length

Max length	396
Median length	3
Mean length	69.30769231
Min length	3

Characters and Unicode

Total characters	9010
Distinct characters	76
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	35.4%

Sample

1st row	<p><b>#A refreshing break #I refuse any rewards #Going with the flow</b></p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	84	64.6%
<p>When a ruthless demon with the ability to inhabit the body of any living being comes to Earth, not even Boner is safe.</p>	1	0.8%
<p>When a gallery coordinator named Lama is stuck in an inescapable hole with Ali the artist, they push each other to confront the dark side of their lives.</p>	1	0.8%
<p>Krisha joins the rest of the theater group in staging an LGBTQIA+ rally for their theater adviser, Mr. Siwa. Amidst the chaos of preparations, Vince and Leslie uncover Barry and Mando's secret.</p>	1	0.8%
<p>Keyla auditions for a musical show. Benê starts giving piano lessons to Nem. Lica gets a freelancer. Tina moves into Lica's house.</p>	1	0.8%
<p>This week, host Wil Wheaton (Star Trek: The Next Generation) is joined by new stars Blu del Barrio (Adira) and Ian Alexander (Gray). The two young actors describe what it's like to join the massive Star Trek family, the impact of playing trans and non-binary characters, and just how hard it is to fake playing the cello.</p>	1	0.8%
<p>The final four tackle themed tablescapes before a team challenge that celebrates the LGBTQIA+ community with brilliant floral barges.</p>	1	0.8%
<p>The final florists create celebratory signature bouquets before transforming empty rooms into vibrant, flower-filled spaces that tell a story stunning enough to snag the life-changing $100,000 grand prize.</p>	1	0.8%
<p>Before Chad, Faith, and Garrett can wine and dine a mystery suitor for their eighth date of Christmas, Garrett receives a sweet surprise. Later, when someone from Faith's past reenters the picture, what's to become of her future with Anthony? Meanwhile, the arrival of a gregarious new housemate puts the others on edge.</p>	1	0.8%
<p>With only two dates remaining before our Leads must choose someone to take home, newcomer Chelsea makes up for lost time by commanding control of the festivities—and everyone's attention. After being prematurely friend-zoned by Dominick, Garrett hopes that some one-on-one time will reignite their spark.</p>	1	0.8%
Other values (37)	37	28.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	84	5.6%
the	68	4.5%
to	52	3.5%
a	42	2.8%
and	39	2.6%
of	27	1.8%
with	20	1.3%
p	15	1.0%
for	14	0.9%
her	14	0.9%
Other values (763)	1125	75.0%

Most occurring characters

Value	Count	Frequency (%)
	1356	15.0%
e	809	9.0%
n	661	7.3%
a	630	7.0%
t	575	6.4%
o	506	5.6%
i	488	5.4%
r	438	4.9%
s	437	4.9%
h	331	3.7%
Other values (66)	2779	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6831	75.8%
Space Separator	1373	15.2%
Math Symbol	262	2.9%
Other Punctuation	257	2.9%
Uppercase Letter	247	2.7%
Dash Punctuation	25	0.3%
Decimal Number	8	0.1%
Open Punctuation	3	< 0.1%
Close Punctuation	3	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	809	11.8%
n	661	9.7%
a	630	9.2%
t	575	8.4%
o	506	7.4%
i	488	7.1%
r	438	6.4%
s	437	6.4%
h	331	4.8%
l	271	4.0%
Other values (17)	1685	24.7%

Uppercase Letter

Value	Count	Frequency (%)
A	31	12.6%
B	30	12.1%
J	19	7.7%
T	19	7.7%
L	15	6.1%
M	13	5.3%
S	13	5.3%
W	12	4.9%
F	11	4.5%
C	11	4.5%
Other values (15)	73	29.6%

Other Punctuation

Value	Count	Frequency (%)
.	78	30.4%
/	72	28.0%
,	63	24.5%
'	30	11.7%
?	4	1.6%
#	3	1.2%
"	2	0.8%
;	2	0.8%
!	1	0.4%
&	1	0.4%

Math Symbol

Value	Count	Frequency (%)
<	130	49.6%
>	130	49.6%
+	2	0.8%

Decimal Number

Value	Count	Frequency (%)
0	5	62.5%
1	2	25.0%
3	1	12.5%

Space Separator

Value	Count	Frequency (%)
	1356	98.8%
	17	1.2%

Dash Punctuation

Value	Count	Frequency (%)
-	18	72.0%
—	7	28.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7078	78.6%
Common	1932	21.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	809	11.4%
n	661	9.3%
a	630	8.9%
t	575	8.1%
o	506	7.1%
i	488	6.9%
r	438	6.2%
s	437	6.2%
h	331	4.7%
l	271	3.8%
Other values (42)	1932	27.3%

Common

Value	Count	Frequency (%)
	1356	70.2%
<	130	6.7%
>	130	6.7%
.	78	4.0%
/	72	3.7%
,	63	3.3%
'	30	1.6%
-	18	0.9%
	17	0.9%
—	7	0.4%
Other values (14)	31	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8985	99.7%
None	18	0.2%
Punctuation	7	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1356	15.1%
e	809	9.0%
n	661	7.4%
a	630	7.0%
t	575	6.4%
o	506	5.6%
i	488	5.4%
r	438	4.9%
s	437	4.9%
h	331	3.7%
Other values (63)	2754	30.7%

None

Value	Count	Frequency (%)
	17	94.4%
ê	1	5.6%

Punctuation

Value	Count	Frequency (%)
—	7	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	86
Distinct (%)	66.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	46650.32308

Minimum	2504
Maximum	60848
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2504
5-th percentile	16884.85
Q1	44107.25
median	51793.5
Q3	52548
95-th percentile	56446.6
Maximum	60848
Range	58344
Interquartile range (IQR)	8440.75

Descriptive statistics

Standard deviation	11362.85902
Coefficient of variation (CV)	0.2435751411
Kurtosis	4.812401982
Mean	46650.32308
Median Absolute Deviation (MAD)	1590.5
Skewness	-2.210210896
Sum	6064542
Variance	129114565.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52548	13	10.0%
51845	8	6.2%
42824	5	3.8%
52105	4	3.1%
52071	4	3.1%
45470	3	2.3%
58689	2	1.5%
52758	2	1.5%
52421	2	1.5%
52108	2	1.5%
Other values (76)	85	65.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2504	1	0.8%
6141	1	0.8%
6544	1	0.8%
7480	1	0.8%
13215	1	0.8%
15250	1	0.8%
16753	1	0.8%
17046	1	0.8%
24837	1	0.8%
26268	1	0.8%

Value	Count	Frequency (%)
60848	1	0.8%
60809	1	0.8%
58689	2	1.5%
57556	1	0.8%
57257	1	0.8%
56605	1	0.8%
56253	1	0.8%
54744	1	0.8%
54658	1	0.8%
54610	1	0.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	86
Distinct (%)	66.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://www.tvmaze.com/shows/52548/bogdan-boner-egzorcysta	13
https://www.tvmaze.com/shows/51845/stylish-with-jenna-lyons	8
https://www.tvmaze.com/shows/42824/looney-tunes-cartoons	5
https://www.tvmaze.com/shows/52105/be-with-you	4
https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	4
Other values (81)	96

Length

Max length	83
Median length	62
Mean length	51.80769231
Min length	39

Characters and Unicode

Total characters	6735
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	67 ?
Unique (%)	51.5%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
3rd row	https://www.tvmaze.com/shows/49280/psih
4th row	https://www.tvmaze.com/shows/49422/serlok-v-rossii
5th row	https://www.tvmaze.com/shows/51908/neznost

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52548/bogdan-boner-egzorcysta	13	10.0%
https://www.tvmaze.com/shows/51845/stylish-with-jenna-lyons	8	6.2%
https://www.tvmaze.com/shows/42824/looney-tunes-cartoons	5	3.8%
https://www.tvmaze.com/shows/52105/be-with-you	4	3.1%
https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	4	3.1%
https://www.tvmaze.com/shows/45470/12-dates-of-christmas	3	2.3%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	1.5%
https://www.tvmaze.com/shows/52758/stichtag	2	1.5%
https://www.tvmaze.com/shows/52421/you-complete-me	2	1.5%
https://www.tvmaze.com/shows/52108/psych-hunter	2	1.5%
Other values (76)	85	65.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52548/bogdan-boner-egzorcysta	13	10.0%
https://www.tvmaze.com/shows/51845/stylish-with-jenna-lyons	8	6.2%
https://www.tvmaze.com/shows/42824/looney-tunes-cartoons	5	3.8%
https://www.tvmaze.com/shows/52105/be-with-you	4	3.1%
https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	4	3.1%
https://www.tvmaze.com/shows/45470/12-dates-of-christmas	3	2.3%
https://www.tvmaze.com/shows/53177/masrah-masr	2	1.5%
https://www.tvmaze.com/shows/42843/the-flight-attendant	2	1.5%
https://www.tvmaze.com/shows/51560/begin-again	2	1.5%
https://www.tvmaze.com/shows/47912/the-wolf	2	1.5%
Other values (76)	85	65.4%

Most occurring characters

Value	Count	Frequency (%)
/	650	9.7%
t	557	8.3%
w	551	8.2%
s	543	8.1%
o	433	6.4%
h	342	5.1%
e	335	5.0%
m	308	4.6%
a	280	4.2%
.	260	3.9%
Other values (30)	2476	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4786	71.1%
Other Punctuation	1040	15.4%
Decimal Number	661	9.8%
Dash Punctuation	248	3.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	557	11.6%
w	551	11.5%
s	543	11.3%
o	433	9.0%
h	342	7.1%
e	335	7.0%
m	308	6.4%
a	280	5.9%
c	193	4.0%
p	159	3.3%
Other values (16)	1085	22.7%

Decimal Number

Value	Count	Frequency (%)
5	129	19.5%
4	95	14.4%
2	83	12.6%
8	72	10.9%
1	70	10.6%
0	56	8.5%
6	43	6.5%
7	40	6.1%
9	37	5.6%
3	36	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	650	62.5%
.	260	25.0%
:	130	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4786	71.1%
Common	1949	28.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	557	11.6%
w	551	11.5%
s	543	11.3%
o	433	9.0%
h	342	7.1%
e	335	7.0%
m	308	6.4%
a	280	5.9%
c	193	4.0%
p	159	3.3%
Other values (16)	1085	22.7%

Common

Value	Count	Frequency (%)
/	650	33.4%
.	260	13.3%
-	248	12.7%
:	130	6.7%
5	129	6.6%
4	95	4.9%
2	83	4.3%
8	72	3.7%
1	70	3.6%
0	56	2.9%
Other values (4)	156	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	650	9.7%
t	557	8.3%
w	551	8.2%
s	543	8.1%
o	433	6.4%
h	342	5.1%
e	335	5.0%
m	308	4.6%
a	280	4.2%
.	260	3.9%
Other values (30)	2476	36.8%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	85
Distinct (%)	65.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Bogdan Boner: Egzorcysta	13
Stylish with Jenna Lyons	8
Looney Tunes Cartoons	5
Heaven's Gate: The Cult of Cults	4
Be With You	4
Other values (80)	96

Length

Max length	50
Median length	28
Mean length	17.25384615
Min length	4

Characters and Unicode

Total characters	2243
Distinct characters	103
Distinct categories	6 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	65 ?
Unique (%)	50.0%

Sample

1st row	Sim for You
2nd row	257 причин, чтобы жить
3rd row	Псих
4th row	Шерлок в России
5th row	Нежность

Common Values

Value	Count	Frequency (%)
Bogdan Boner: Egzorcysta	13	10.0%
Stylish with Jenna Lyons	8	6.2%
Looney Tunes Cartoons	5	3.8%
Heaven's Gate: The Cult of Cults	4	3.1%
Be With You	4	3.1%
12 Dates of Christmas	3	2.3%
Stichtag	2	1.5%
You Complete Me	2	1.5%
Psych Hunter	2	1.5%
Full Bloom	2	1.5%
Other values (75)	85	65.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	15	4.0%
bogdan	13	3.4%
egzorcysta	13	3.4%
boner	13	3.4%
with	12	3.2%
of	9	2.4%
stylish	8	2.1%
jenna	8	2.1%
lyons	8	2.1%
you	8	2.1%
Other values (200)	272	71.8%

Most occurring characters

Value	Count	Frequency (%)
	249	11.1%
e	177	7.9%
o	153	6.8%
n	134	6.0%
a	130	5.8%
t	123	5.5%
s	108	4.8%
r	102	4.5%
i	88	3.9%
h	71	3.2%
Other values (93)	908	40.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1578	70.4%
Uppercase Letter	351	15.6%
Space Separator	249	11.1%
Other Punctuation	49	2.2%
Decimal Number	15	0.7%
Dash Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	177	11.2%
o	153	9.7%
n	134	8.5%
a	130	8.2%
t	123	7.8%
s	108	6.8%
r	102	6.5%
i	88	5.6%
h	71	4.5%
l	61	3.9%
Other values (42)	431	27.3%

Uppercase Letter

Value	Count	Frequency (%)
B	46	13.1%
T	36	10.3%
S	34	9.7%
C	25	7.1%
M	22	6.3%
L	20	5.7%
E	18	5.1%
W	15	4.3%
J	14	4.0%
A	13	3.7%
Other values (25)	108	30.8%

Other Punctuation

Value	Count	Frequency (%)
:	21	42.9%
'	11	22.4%
.	6	12.2%
,	4	8.2%
!	3	6.1%
&	2	4.1%
#	1	2.0%
?	1	2.0%

Decimal Number

Value	Count	Frequency (%)
2	7	46.7%
1	3	20.0%
0	2	13.3%
7	1	6.7%
5	1	6.7%
6	1	6.7%

Space Separator

Value	Count	Frequency (%)
	249	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1823	81.3%
Common	314	14.0%
Cyrillic	106	4.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	177	9.7%
o	153	8.4%
n	134	7.4%
a	130	7.1%
t	123	6.7%
s	108	5.9%
r	102	5.6%
i	88	4.8%
h	71	3.9%
l	61	3.3%
Other values (42)	676	37.1%

Cyrillic

Value	Count	Frequency (%)
и	10	9.4%
о	10	9.4%
е	9	8.5%
т	8	7.5%
н	7	6.6%
к	5	4.7%
с	5	4.7%
а	4	3.8%
С	4	3.8%
ж	3	2.8%
Other values (25)	41	38.7%

Common

Value	Count	Frequency (%)
	249	79.3%
:	21	6.7%
'	11	3.5%
2	7	2.2%
.	6	1.9%
,	4	1.3%
!	3	1.0%
1	3	1.0%
0	2	0.6%
&	2	0.6%
Other values (6)	6	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2134	95.1%
Cyrillic	106	4.7%
None	3	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	249	11.7%
e	177	8.3%
o	153	7.2%
n	134	6.3%
a	130	6.1%
t	123	5.8%
s	108	5.1%
r	102	4.8%
i	88	4.1%
h	71	3.3%
Other values (57)	799	37.4%

Cyrillic

Value	Count	Frequency (%)
и	10	9.4%
о	10	9.4%
е	9	8.5%
т	8	7.5%
н	7	6.6%
к	5	4.7%
с	5	4.7%
а	4	3.8%
С	4	3.8%
ж	3	2.8%
Other values (25)	41	38.7%

None

Value	Count	Frequency (%)
ø	3	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	8.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Scripted	55
Animation	26
Reality	22
Talk Show	11
Documentary	9
Other values (6)	7

Length

Max length	11
Median length	10
Mean length	8.276923077
Min length	4

Characters and Unicode

Total characters	1076
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	3.8%

Sample

1st row	Reality
2nd row	Scripted
3rd row	Scripted
4th row	Scripted
5th row	Scripted

Common Values

Value	Count	Frequency (%)
Scripted	55	42.3%
Animation	26	20.0%
Reality	22	16.9%
Talk Show	11	8.5%
Documentary	9	6.9%
News	2	1.5%
Variety	1	0.8%
Panel Show	1	0.8%
Award Show	1	0.8%
Game Show	1	0.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
scripted	55	38.2%
animation	26	18.1%
reality	22	15.3%
show	14	9.7%
talk	11	7.6%
documentary	9	6.2%
news	2	1.4%
variety	1	0.7%
panel	1	0.7%
award	1	0.7%
Other values (2)	2	1.4%

Most occurring characters

Value	Count	Frequency (%)
i	130	12.1%
t	114	10.6%
e	91	8.5%
a	72	6.7%
S	70	6.5%
r	67	6.2%
c	64	5.9%
n	62	5.8%
p	56	5.2%
d	56	5.2%
Other values (18)	294	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	918	85.3%
Uppercase Letter	144	13.4%
Space Separator	14	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	130	14.2%
t	114	12.4%
e	91	9.9%
a	72	7.8%
r	67	7.3%
c	64	7.0%
n	62	6.8%
p	56	6.1%
d	56	6.1%
o	50	5.4%
Other values (8)	156	17.0%

Uppercase Letter

Value	Count	Frequency (%)
S	70	48.6%
A	27	18.8%
R	22	15.3%
T	11	7.6%
D	9	6.2%
N	2	1.4%
V	1	0.7%
P	1	0.7%
G	1	0.7%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1062	98.7%
Common	14	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	130	12.2%
t	114	10.7%
e	91	8.6%
a	72	6.8%
S	70	6.6%
r	67	6.3%
c	64	6.0%
n	62	5.8%
p	56	5.3%
d	56	5.3%
Other values (17)	280	26.4%

Common

Value	Count	Frequency (%)
	14	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1076	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	130	12.1%
t	114	10.6%
e	91	8.5%
a	72	6.7%
S	70	6.5%
r	67	6.2%
c	64	5.9%
n	62	5.8%
p	56	5.2%
d	56	5.2%
Other values (18)	294	27.3%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	10.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

English	47
Chinese	24
Polish	13
Russian	12
Korean	8
Other values (8)	26

Length

Max length	10
Median length	7
Mean length	6.853846154
Min length	4

Characters and Unicode

Total characters	891
Distinct characters	28
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	2.3%

Sample

1st row	Korean
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
English	47	36.2%
Chinese	24	18.5%
Polish	13	10.0%
Russian	12	9.2%
Korean	8	6.2%
Norwegian	8	6.2%
Arabic	6	4.6%
Dutch	4	3.1%
German	3	2.3%
Portuguese	2	1.5%
Other values (3)	3	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	47	36.2%
chinese	24	18.5%
polish	13	10.0%
russian	12	9.2%
korean	8	6.2%
norwegian	8	6.2%
arabic	6	4.6%
dutch	4	3.1%
german	3	2.3%
portuguese	2	1.5%
Other values (3)	3	2.3%

Most occurring characters

Value	Count	Frequency (%)
i	112	12.6%
s	111	12.5%
n	103	11.6%
h	90	10.1%
e	71	8.0%
l	61	6.8%
g	59	6.6%
E	47	5.3%
a	41	4.6%
o	32	3.6%
Other values (18)	164	18.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	761	85.4%
Uppercase Letter	130	14.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	112	14.7%
s	111	14.6%
n	103	13.5%
h	90	11.8%
e	71	9.3%
l	61	8.0%
g	59	7.8%
a	41	5.4%
o	32	4.2%
r	27	3.5%
Other values (7)	54	7.1%

Uppercase Letter

Value	Count	Frequency (%)
E	47	36.2%
C	24	18.5%
P	15	11.5%
R	12	9.2%
K	8	6.2%
N	8	6.2%
A	6	4.6%
D	4	3.1%
G	3	2.3%
T	2	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	891	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	112	12.6%
s	111	12.5%
n	103	11.6%
h	90	10.1%
e	71	8.0%
l	61	6.8%
g	59	6.6%
E	47	5.3%
a	41	4.6%
o	32	3.6%
Other values (18)	164	18.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	891	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	112	12.6%
s	111	12.5%
n	103	11.6%
h	90	10.1%
e	71	8.0%
l	61	6.8%
g	59	6.6%
E	47	5.3%
a	41	4.6%
o	32	3.6%
Other values (18)	164	18.4%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

[]	31
['Comedy']	16
['Comedy', 'Horror']	13
['Drama', 'Comedy']	11
['Drama', 'Romance']	9
Other values (29)	50

Length

Max length	42
Median length	39
Mean length	15.6
Min length	2

Characters and Unicode

Total characters	2028
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	14.6%

Sample

1st row	[]
2nd row	['Drama', 'Comedy']
3rd row	['Drama', 'Thriller']
4th row	['Crime', 'Mystery']
5th row	['Drama', 'Comedy', 'Romance']

Common Values

Value	Count	Frequency (%)
[]	31	23.8%
['Comedy']	16	12.3%
['Comedy', 'Horror']	13	10.0%
['Drama', 'Comedy']	11	8.5%
['Drama', 'Romance']	9	6.9%
['Drama', 'Comedy', 'Romance']	7	5.4%
['Drama']	5	3.8%
['Romance']	4	3.1%
['Sports']	3	2.3%
['Comedy', 'Music']	2	1.5%
Other values (24)	29	22.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
comedy	55	24.7%
drama	44	19.7%
	31	13.9%
romance	26	11.7%
horror	13	5.8%
mystery	6	2.7%
fantasy	5	2.2%
thriller	5	2.2%
adventure	5	2.2%
crime	4	1.8%
Other values (12)	29	13.0%

Most occurring characters

Value	Count	Frequency (%)
'	384	18.9%
m	134	6.6%
[	130	6.4%
]	130	6.4%
a	128	6.3%
o	124	6.1%
e	124	6.1%
r	118	5.8%
,	93	4.6%
	93	4.6%
Other values (25)	570	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	998	49.2%
Other Punctuation	477	23.5%
Uppercase Letter	196	9.7%
Open Punctuation	130	6.4%
Close Punctuation	130	6.4%
Space Separator	93	4.6%
Dash Punctuation	4	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	134	13.4%
a	128	12.8%
o	124	12.4%
e	124	12.4%
r	118	11.8%
y	75	7.5%
d	65	6.5%
n	55	5.5%
c	45	4.5%
i	38	3.8%
Other values (8)	92	9.2%

Uppercase Letter

Value	Count	Frequency (%)
C	62	31.6%
D	44	22.4%
R	26	13.3%
H	15	7.7%
A	13	6.6%
F	12	6.1%
M	9	4.6%
S	7	3.6%
T	6	3.1%
L	1	0.5%

Other Punctuation

Value	Count	Frequency (%)
'	384	80.5%
,	93	19.5%

Open Punctuation

Value	Count	Frequency (%)
[	130	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	130	100.0%

Space Separator

Value	Count	Frequency (%)
	93	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1194	58.9%
Common	834	41.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	134	11.2%
a	128	10.7%
o	124	10.4%
e	124	10.4%
r	118	9.9%
y	75	6.3%
d	65	5.4%
C	62	5.2%
n	55	4.6%
c	45	3.8%
Other values (19)	264	22.1%

Common

Value	Count	Frequency (%)
'	384	46.0%
[	130	15.6%
]	130	15.6%
,	93	11.2%
	93	11.2%
-	4	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	384	18.9%
m	134	6.6%
[	130	6.4%
]	130	6.4%
a	128	6.3%
o	124	6.1%
e	124	6.1%
r	118	5.8%
,	93	4.6%
	93	4.6%
Other values (25)	570	28.1%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Running	59
Ended	46
To Be Determined	25

Length

Max length	16
Median length	7
Mean length	8.023076923
Min length	5

Characters and Unicode

Total characters	1043
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	To Be Determined
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	59	45.4%
Ended	46	35.4%
To Be Determined	25	19.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	59	32.8%
ended	46	25.6%
to	25	13.9%
be	25	13.9%
determined	25	13.9%

Most occurring characters

Value	Count	Frequency (%)
n	248	23.8%
e	146	14.0%
d	117	11.2%
i	84	8.1%
R	59	5.7%
u	59	5.7%
g	59	5.7%
	50	4.8%
E	46	4.4%
T	25	2.4%
Other values (6)	150	14.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	813	77.9%
Uppercase Letter	180	17.3%
Space Separator	50	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	248	30.5%
e	146	18.0%
d	117	14.4%
i	84	10.3%
u	59	7.3%
g	59	7.3%
o	25	3.1%
t	25	3.1%
r	25	3.1%
m	25	3.1%

Uppercase Letter

Value	Count	Frequency (%)
R	59	32.8%
E	46	25.6%
T	25	13.9%
B	25	13.9%
D	25	13.9%

Space Separator

Value	Count	Frequency (%)
	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	993	95.2%
Common	50	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	248	25.0%
e	146	14.7%
d	117	11.8%
i	84	8.5%
R	59	5.9%
u	59	5.9%
g	59	5.9%
E	46	4.6%
T	25	2.5%
o	25	2.5%
Other values (5)	125	12.6%

Common

Value	Count	Frequency (%)
	50	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1043	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	248	23.8%
e	146	14.0%
d	117	11.2%
i	84	8.1%
R	59	5.7%
u	59	5.7%
g	59	5.7%
	50	4.8%
E	46	4.4%
T	25	2.4%
Other values (6)	150	14.4%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	26.7%
Missing	40
Missing (%)	30.8%
Infinite	0
Infinite (%)	0.0%
Mean	37.37777778

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2
5-th percentile	11
Q1	15
median	30
Q3	45
95-th percentile	60
Maximum	300
Range	298
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	40.30796553
Coefficient of variation (CV)	1.078393846
Kurtosis	26.51364082
Mean	37.37777778
Median Absolute Deviation (MAD)	15
Skewness	4.663357083
Sum	3364
Variance	1624.732085
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
45	23	17.7%
12	14	10.8%
20	8	6.2%
60	6	4.6%
30	6	4.6%
11	5	3.8%
40	3	2.3%
25	3	2.3%
50	3	2.3%
15	3	2.3%
Other values (14)	16	12.3%
(Missing)	40	30.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.8%
8	1	0.8%
10	1	0.8%
11	5	3.8%
12	14	10.8%
15	3	2.3%
16	1	0.8%
18	1	0.8%
19	2	1.5%
20	8	6.2%

Value	Count	Frequency (%)
300	1	0.8%
240	1	0.8%
120	1	0.8%
62	1	0.8%
60	6	4.6%
53	1	0.8%
52	1	0.8%
50	3	2.3%
45	23	17.7%
40	3	2.3%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	40
Distinct (%)	33.6%
Missing	11
Missing (%)	8.5%
Infinite	0
Infinite (%)	0.0%
Mean	35.86554622

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2
5-th percentile	9
Q1	13
median	31
Q3	45
95-th percentile	60
Maximum	300
Range	298
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	35.15122882
Coefficient of variation (CV)	0.9800834653
Kurtosis	31.26910829
Mean	35.86554622
Median Absolute Deviation (MAD)	16
Skewness	4.761346882
Sum	4268
Variance	1235.608888
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
45	23	17.7%
12	15	11.5%
9	6	4.6%
43	5	3.8%
51	5	3.8%
20	5	3.8%
60	5	3.8%
50	4	3.1%
14	3	2.3%
25	3	2.3%
Other values (30)	45	34.6%
(Missing)	11	8.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	1.5%
6	1	0.8%
8	1	0.8%
9	6	4.6%
10	2	1.5%
11	2	1.5%
12	15	11.5%
13	2	1.5%
14	3	2.3%
15	2	1.5%

Value	Count	Frequency (%)
300	1	0.8%
211	1	0.8%
120	1	0.8%
77	1	0.8%
62	1	0.8%
60	5	3.8%
57	2	1.5%
56	1	0.8%
54	1	0.8%
53	1	0.8%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	65
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-03	28
2020-11-12	10
2020-11-19	7
2020-11-26	6
2020-11-05	5
Other values (60)	74

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1300
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	40.0%

Sample

1st row	2019-03-25
2nd row	2020-03-26
3rd row	2020-11-05
4th row	2020-10-22
5th row	2020-11-12

Common Values

Value	Count	Frequency (%)
2020-12-03	28	21.5%
2020-11-12	10	7.7%
2020-11-19	7	5.4%
2020-11-26	6	4.6%
2020-11-05	5	3.8%
2020-05-27	5	3.8%
2020-11-18	4	3.1%
2020-10-29	3	2.3%
2013-02-01	2	1.5%
2020-11-30	2	1.5%
Other values (55)	58	44.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-03	28	21.5%
2020-11-12	10	7.7%
2020-11-19	7	5.4%
2020-11-26	6	4.6%
2020-11-05	5	3.8%
2020-05-27	5	3.8%
2020-11-18	4	3.1%
2020-10-29	3	2.3%
2020-12-02	2	1.5%
2020-11-23	2	1.5%
Other values (55)	58	44.6%

Most occurring characters

Value	Count	Frequency (%)
0	339	26.1%
2	309	23.8%
-	260	20.0%
1	215	16.5%
3	50	3.8%
9	34	2.6%
5	24	1.8%
4	21	1.6%
6	16	1.2%
7	16	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1040	80.0%
Dash Punctuation	260	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	339	32.6%
2	309	29.7%
1	215	20.7%
3	50	4.8%
9	34	3.3%
5	24	2.3%
4	21	2.0%
6	16	1.5%
7	16	1.5%
8	16	1.5%

Dash Punctuation

Value	Count	Frequency (%)
-	260	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1300	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	339	26.1%
2	309	23.8%
-	260	20.0%
1	215	16.5%
3	50	3.8%
9	34	2.6%
5	24	1.8%
4	21	1.6%
6	16	1.2%
7	16	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1300	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	339	26.1%
2	309	23.8%
-	260	20.0%
1	215	16.5%
3	50	3.8%
9	34	2.6%
5	24	1.8%
4	21	1.6%
6	16	1.2%
7	16	1.2%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	13.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	84
2020-12-03	7
2020-12-10	7
2020-12-17	6
2020-12-24	5
Other values (13)	21

Length

Max length	10
Median length	3
Mean length	5.476923077
Min length	3

Characters and Unicode

Total characters	712
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	4.6%

Sample

1st row	nan
2nd row	2021-01-21
3rd row	2020-12-24
4th row	nan
5th row	2020-12-03

Common Values

Value	Count	Frequency (%)
nan	84	64.6%
2020-12-03	7	5.4%
2020-12-10	7	5.4%
2020-12-17	6	4.6%
2020-12-24	5	3.8%
2020-12-11	3	2.3%
2021-01-14	2	1.5%
2020-12-16	2	1.5%
2021-01-27	2	1.5%
2020-12-30	2	1.5%
Other values (8)	10	7.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	84	64.6%
2020-12-03	7	5.4%
2020-12-10	7	5.4%
2020-12-17	6	4.6%
2020-12-24	5	3.8%
2020-12-11	3	2.3%
2021-01-04	2	1.5%
2020-12-08	2	1.5%
2020-12-30	2	1.5%
2021-01-27	2	1.5%
Other values (8)	10	7.7%

Most occurring characters

Value	Count	Frequency (%)
n	168	23.6%
2	140	19.7%
0	113	15.9%
-	92	12.9%
a	84	11.8%
1	80	11.2%
3	9	1.3%
7	9	1.3%
4	9	1.3%
6	4	0.6%
Other values (2)	4	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	368	51.7%
Lowercase Letter	252	35.4%
Dash Punctuation	92	12.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	140	38.0%
0	113	30.7%
1	80	21.7%
3	9	2.4%
7	9	2.4%
4	9	2.4%
6	4	1.1%
8	3	0.8%
5	1	0.3%

Lowercase Letter

Value	Count	Frequency (%)
n	168	66.7%
a	84	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	92	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	460	64.6%
Latin	252	35.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	140	30.4%
0	113	24.6%
-	92	20.0%
1	80	17.4%
3	9	2.0%
7	9	2.0%
4	9	2.0%
6	4	0.9%
8	3	0.7%
5	1	0.2%

Latin

Value	Count	Frequency (%)
n	168	66.7%
a	84	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	712	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	168	23.6%
2	140	19.7%
0	113	15.9%
-	92	12.9%
a	84	11.8%
1	80	11.2%
3	9	1.3%
7	9	1.3%
4	9	1.3%
6	4	0.6%
Other values (2)	4	0.6%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	76
Distinct (%)	58.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	22
https://www.netflix.com/title/81297404	13
https://www.hbomax.com/looney-tunes/	5
https://www.hbomax.com/heavens-gate	4
https://v.qq.com/detail/m/mzc00200gbahyn5.html	4
Other values (71)	82

Length

Max length	119
Median length	74
Mean length	40.17692308
Min length	3

Characters and Unicode

Total characters	5223
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	46.9%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	https://start.ru/watch/257-prichin-chtoby-zhit
3rd row	https://more.tv/psih
4th row	https://start.ru/watch/sherlok-v-rossii
5th row	https://www.ivi.ru/watch/nezhnost

Common Values

Value	Count	Frequency (%)
nan	22	16.9%
https://www.netflix.com/title/81297404	13	10.0%
https://www.hbomax.com/looney-tunes/	5	3.8%
https://www.hbomax.com/heavens-gate	4	3.1%
https://v.qq.com/detail/m/mzc00200gbahyn5.html	4	3.1%
https://play.hbomax.com/series/urn:hbo:series:GX6MzzwZycJYSwwEAAALF	3	2.3%
https://tv.nrk.no/serie/ukjent-arving	2	1.5%
https://www.joyn.de/serien/stichtag	2	1.5%
https://play.hbomax.com/page/urn:hbo:page:GX5MHsQzwwIuLwgEAAACp:type:series	2	1.5%
https://www.iqiyi.com/a_19rrhskr95.html	2	1.5%
Other values (66)	71	54.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	22	16.9%
https://www.netflix.com/title/81297404	13	10.0%
https://www.hbomax.com/looney-tunes	5	3.8%
https://www.hbomax.com/heavens-gate	4	3.1%
https://v.qq.com/detail/m/mzc00200gbahyn5.html	4	3.1%
https://play.hbomax.com/series/urn:hbo:series:gx6mzzwzycjyswweaaalf	3	2.3%
https://www.hbomax.com/coming-soon/full-bloom	2	1.5%
https://www.iqiyi.com/lib/m_213579814.html	2	1.5%
https://so.youku.com/search_video/q_%e9%a2%84%e6%94%af%e6%9c%aa%e6%9d%a5?spm=a2hbt.13141534.left-title-content-wrap.5~a	2	1.5%
https://shahid.mbc.net/en/series/masrah-masr/series-816749	2	1.5%
Other values (66)	71	54.6%

Most occurring characters

Value	Count	Frequency (%)
/	442	8.5%
t	429	8.2%
s	269	5.2%
e	257	4.9%
o	235	4.5%
w	229	4.4%
.	218	4.2%
h	217	4.2%
a	190	3.6%
n	190	3.6%
Other values (64)	2547	48.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3533	67.6%
Other Punctuation	846	16.2%
Decimal Number	421	8.1%
Uppercase Letter	301	5.8%
Dash Punctuation	95	1.8%
Math Symbol	15	0.3%
Connector Punctuation	12	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	429	12.1%
s	269	7.6%
e	257	7.3%
o	235	6.7%
w	229	6.5%
h	217	6.1%
a	190	5.4%
n	190	5.4%
p	169	4.8%
i	167	4.7%
Other values (16)	1181	33.4%

Uppercase Letter

Value	Count	Frequency (%)
A	40	13.3%
E	20	6.6%
D	17	5.6%
L	16	5.3%
P	16	5.3%
C	16	5.3%
S	15	5.0%
M	15	5.0%
F	13	4.3%
Z	13	4.3%
Other values (16)	120	39.9%

Decimal Number

Value	Count	Frequency (%)
4	59	14.0%
9	54	12.8%
0	52	12.4%
1	48	11.4%
8	43	10.2%
2	40	9.5%
6	36	8.6%
7	30	7.1%
5	30	7.1%
3	29	6.9%

Other Punctuation

Value	Count	Frequency (%)
/	442	52.2%
.	218	25.8%
:	130	15.4%
%	42	5.0%
?	11	1.3%
&	1	0.1%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	12	80.0%
~	3	20.0%

Dash Punctuation

Value	Count	Frequency (%)
-	95	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3834	73.4%
Common	1389	26.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	429	11.2%
s	269	7.0%
e	257	6.7%
o	235	6.1%
w	229	6.0%
h	217	5.7%
a	190	5.0%
n	190	5.0%
p	169	4.4%
i	167	4.4%
Other values (42)	1482	38.7%

Common

Value	Count	Frequency (%)
/	442	31.8%
.	218	15.7%
:	130	9.4%
-	95	6.8%
4	59	4.2%
9	54	3.9%
0	52	3.7%
1	48	3.5%
8	43	3.1%
%	42	3.0%
Other values (12)	206	14.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5223	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	442	8.5%
t	429	8.2%
s	269	5.2%
e	257	4.9%
o	235	4.5%
w	229	4.4%
.	218	4.2%
h	217	4.2%
a	190	3.6%
n	190	3.6%
Other values (64)	2547	48.8%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	57
Distinct (%)	43.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.57692308

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8.5
median	32
Q3	54.75
95-th percentile	87
Maximum	100
Range	99
Interquartile range (IQR)	46.25

Descriptive statistics

Standard deviation	28.96077684
Coefficient of variation (CV)	0.7917772848
Kurtosis	-0.8136753653
Mean	36.57692308
Median Absolute Deviation (MAD)	23
Skewness	0.5519441127
Sum	4755
Variance	838.7265951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	14	10.8%
25	11	8.5%
44	8	6.2%
2	6	4.6%
8	5	3.8%
85	5	3.8%
14	4	3.1%
34	4	3.1%
18	4	3.1%
47	4	3.1%
Other values (47)	65	50.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	2.3%
2	6	4.6%
3	14	10.8%
4	1	0.8%
6	2	1.5%
7	2	1.5%
8	5	3.8%
10	1	0.8%
11	1	0.8%
14	4	3.1%

Value	Count	Frequency (%)
100	3	2.3%
93	2	1.5%
90	1	0.8%
87	2	1.5%
85	5	3.8%
84	1	0.8%
83	2	1.5%
79	1	0.8%
78	1	0.8%
77	1	0.8%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	129
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1

Length

Max length	70
Median length	3
Mean length	3.515384615
Min length	3

Characters and Unicode

Total characters	457
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	129	99.2%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	129	94.2%
name	1	0.7%
korea	1	0.7%
republic	1	0.7%
of	1	0.7%
code	1	0.7%
kr	1	0.7%
timezone	1	0.7%
asia/seoul	1	0.7%

Most occurring characters

Value	Count	Frequency (%)
n	260	56.9%
a	132	28.9%
'	12	2.6%
e	7	1.5%
	7	1.5%
o	5	1.1%
i	3	0.7%
:	3	0.7%
,	3	0.7%
R	2	0.4%
Other values (18)	23	5.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	423	92.6%
Other Punctuation	19	4.2%
Space Separator	7	1.5%
Uppercase Letter	6	1.3%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	260	61.5%
a	132	31.2%
e	7	1.7%
o	5	1.2%
i	3	0.7%
c	2	0.5%
l	2	0.5%
u	2	0.5%
m	2	0.5%
p	1	0.2%
Other values (7)	7	1.7%

Other Punctuation

Value	Count	Frequency (%)
'	12	63.2%
:	3	15.8%
,	3	15.8%
/	1	5.3%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
K	2	33.3%
A	1	16.7%
S	1	16.7%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	429	93.9%
Common	28	6.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	260	60.6%
a	132	30.8%
e	7	1.6%
o	5	1.2%
i	3	0.7%
R	2	0.5%
c	2	0.5%
l	2	0.5%
u	2	0.5%
K	2	0.5%
Other values (11)	12	2.8%

Common

Value	Count	Frequency (%)
'	12	42.9%
	7	25.0%
:	3	10.7%
,	3	10.7%
{	1	3.6%
/	1	3.6%
}	1	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	260	56.9%
a	132	28.9%
'	12	2.6%
e	7	1.5%
	7	1.5%
o	5	1.1%
i	3	0.7%
:	3	0.7%
,	3	0.7%
R	2	0.4%
Other values (18)	23	5.0%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	72
Distinct (%)	55.4%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	18
<p>No demon is safe as Bogdan Boner, the alcohol-loving, self-taught exorcist-for-hire, returns with more inventive, obscene and deadly deeds.</p>	13
<p><b>Stylish with Jenna Lyons</b> follows Jenna as she tackles design projects that will help define her future business. Join her in this ambitious new venture, delivering a masterclass in taste, design, and fashion in every episode.</p>	8
<p><b>Looney Tunes Cartoons</b>, an all-new series from Warner Bros. Animation starring the cherished <i>Looney Tunes</i> characters. <i>Looney Tunes Cartoons </i>echoes the high production value and process of the original Looney Tunes theatrical shorts with a cartoonist-driven approach to storytelling. Marquee <i>Looney Tunes</i> characters will be featured in their classic pairings in simple, gag-driven and visually vibrant stories. The new series will include 80 eleven-minute episodes, each comprised of animated shorts that vary in length and include adapted storylines for today's audience.</p>	5
<p>A young cartoonist intentionally gets near Ji Yan Xin, a cold and arrogant professor. Qi Nian, a girl with a straightforward personality hopes that interacting with Ji Yan Xin would give her inspiration and creative materials for her comic plot. Coincidentally Ji Yan Xin's younger brother Ji Si Qi becomes Qi Nian's assistant and a catalyst for their relationship to progress and blossom.</p>	4
Other values (67)	82

Length

Max length	1084
Median length	611.5
Mean length	301.6076923
Min length	3

Characters and Unicode

Total characters	39209
Distinct characters	90
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	42.3%

Sample

1st row	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
3rd row	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	18	13.8%
<p>No demon is safe as Bogdan Boner, the alcohol-loving, self-taught exorcist-for-hire, returns with more inventive, obscene and deadly deeds.</p>	13	10.0%
<p><b>Stylish with Jenna Lyons</b> follows Jenna as she tackles design projects that will help define her future business. Join her in this ambitious new venture, delivering a masterclass in taste, design, and fashion in every episode.</p>	8	6.2%
<p><b>Looney Tunes Cartoons</b>, an all-new series from Warner Bros. Animation starring the cherished <i>Looney Tunes</i> characters. <i>Looney Tunes Cartoons </i>echoes the high production value and process of the original Looney Tunes theatrical shorts with a cartoonist-driven approach to storytelling. Marquee <i>Looney Tunes</i> characters will be featured in their classic pairings in simple, gag-driven and visually vibrant stories. The new series will include 80 eleven-minute episodes, each comprised of animated shorts that vary in length and include adapted storylines for today's audience.</p>	5	3.8%
<p>A young cartoonist intentionally gets near Ji Yan Xin, a cold and arrogant professor. Qi Nian, a girl with a straightforward personality hopes that interacting with Ji Yan Xin would give her inspiration and creative materials for her comic plot. Coincidentally Ji Yan Xin's younger brother Ji Si Qi becomes Qi Nian's assistant and a catalyst for their relationship to progress and blossom.</p>	4	3.1%
<p><b>Heaven's Gate: The Cult of Cults</b> is a thorough examination of the infamous UFO cult through the eyes of its former members and loved ones. What started in 1975 with the disappearance of 20 people from a small town in Oregon, ended in 1997 with the largest suicide on US soil and changed the face of modern New Age religion forever. This four-part docuseries uses never-before-seen footage and first-person accounts to explore the infamous UFO cult that shocked the nation with their out-of-this-world beliefs.</p>	4	3.1%
<p><b>12 Dates of Christmas</b> is a holiday-inspired dating series set in a stunning winter wonderland. The series follows a cast of singles as they step into a real-life romantic comedy full of cozy sweaters, fireside cuddles, and mistletoe kisses, all arranged to help these souls find love - just in time for the holidays.</p>	3	2.3%
<p>A collection of comedy theater presents a new type of separate plays in titles and events with each episode.</p>	2	1.5%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	1.5%
<p>With incredible artistic creations and floristry face-offs, <b>Full Bloom</b> will allow audiences to escape into a surreal world as contestants will design and execute some of the most wondrous, Wonka-esq floral creations ever seen. Each episode features themed challenges centered around a unique stem of the floristry world including fashion, art, events and weddings.</p>	2	1.5%
Other values (62)	69	53.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	302	4.8%
and	245	3.9%
a	198	3.1%
of	161	2.5%
in	141	2.2%
to	117	1.8%
with	98	1.5%
is	83	1.3%
as	58	0.9%
her	56	0.9%
Other values (1805)	4869	76.9%

Most occurring characters

Value	Count	Frequency (%)
	6192	15.8%
e	3667	9.4%
n	2433	6.2%
a	2413	6.2%
i	2368	6.0%
t	2311	5.9%
o	2223	5.7%
s	2146	5.5%
r	1827	4.7%
h	1507	3.8%
Other values (80)	12122	30.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29639	75.6%
Space Separator	6199	15.8%
Uppercase Letter	1197	3.1%
Other Punctuation	1068	2.7%
Math Symbol	800	2.0%
Dash Punctuation	166	0.4%
Decimal Number	111	0.3%
Format	14	< 0.1%
Open Punctuation	7	< 0.1%
Close Punctuation	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3667	12.4%
n	2433	8.2%
a	2413	8.1%
i	2368	8.0%
t	2311	7.8%
o	2223	7.5%
s	2146	7.2%
r	1827	6.2%
h	1507	5.1%
l	1261	4.3%
Other values (21)	7483	25.2%

Uppercase Letter

Value	Count	Frequency (%)
T	137	11.4%
S	107	8.9%
L	78	6.5%
B	75	6.3%
J	67	5.6%
A	64	5.3%
C	64	5.3%
M	54	4.5%
N	51	4.3%
W	47	3.9%
Other values (16)	453	37.8%

Other Punctuation

Value	Count	Frequency (%)
,	390	36.5%
.	317	29.7%
/	209	19.6%
'	84	7.9%
"	20	1.9%
!	14	1.3%
:	13	1.2%
?	9	0.8%
;	4	0.4%
…	4	0.4%
Other values (2)	4	0.4%

Decimal Number

Value	Count	Frequency (%)
0	29	26.1%
1	18	16.2%
2	18	16.2%
9	12	10.8%
7	10	9.0%
5	8	7.2%
8	6	5.4%
4	4	3.6%
6	3	2.7%
3	3	2.7%

Dash Punctuation

Value	Count	Frequency (%)
-	152	91.6%
—	9	5.4%
–	5	3.0%

Space Separator

Value	Count	Frequency (%)
	6192	99.9%
	7	0.1%

Math Symbol

Value	Count	Frequency (%)
<	400	50.0%
>	400	50.0%

Format

Value	Count	Frequency (%)
‎	14	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30836	78.6%
Common	8373	21.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3667	11.9%
n	2433	7.9%
a	2413	7.8%
i	2368	7.7%
t	2311	7.5%
o	2223	7.2%
s	2146	7.0%
r	1827	5.9%
h	1507	4.9%
l	1261	4.1%
Other values (47)	8680	28.1%

Common

Value	Count	Frequency (%)
	6192	74.0%
<	400	4.8%
>	400	4.8%
,	390	4.7%
.	317	3.8%
/	209	2.5%
-	152	1.8%
'	84	1.0%
0	29	0.3%
"	20	0.2%
Other values (23)	180	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39163	99.9%
Punctuation	33	0.1%
None	13	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6192	15.8%
e	3667	9.4%
n	2433	6.2%
a	2413	6.2%
i	2368	6.0%
t	2311	5.9%
o	2223	5.7%
s	2146	5.5%
r	1827	4.7%
h	1507	3.8%
Other values (69)	12076	30.8%

Punctuation

Value	Count	Frequency (%)
‎	14	42.4%
—	9	27.3%
–	5	15.2%
…	4	12.1%
‘	1	3.0%

None

Value	Count	Frequency (%)
	7	53.8%
ø	2	15.4%
ê	1	7.7%
ã	1	7.7%
å	1	7.7%
é	1	7.7%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	86
Distinct (%)	66.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1636461356

Minimum	1607104092
Maximum	1652126507
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1607104092
5-th percentile	1608129919
Q1	1625846145
median	1644546182
Q3	1649684316
95-th percentile	1651961154
Maximum	1652126507
Range	45022415
Interquartile range (IQR)	23838171.25

Descriptive statistics

Standard deviation	15390643.9
Coefficient of variation (CV)	0.009404831857
Kurtosis	-0.879621353
Mean	1636461356
Median Absolute Deviation (MAD)	7446869.5
Skewness	-0.7617056847
Sum	2.127399763 × 10¹¹
Variance	2.368719196 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1634151351	13	10.0%
1649684316	8	6.2%
1646150544	5	3.8%
1646747197	4	3.1%
1616784383	4	3.1%
1651110090	3	2.3%
1635735179	2	1.5%
1609641018	2	1.5%
1619633499	2	1.5%
1650826480	2	1.5%
Other values (76)	85	65.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607104092	1	0.8%
1607167585	1	0.8%
1607638381	1	0.8%
1607638771	1	0.8%
1607697965	2	1.5%
1607964656	1	0.8%
1608331908	1	0.8%
1608334302	1	0.8%
1608499007	1	0.8%
1609606854	1	0.8%

Value	Count	Frequency (%)
1652126507	1	0.8%
1652067931	2	1.5%
1652035430	1	0.8%
1652016543	1	0.8%
1652004759	1	0.8%
1651981343	1	0.8%
1651936479	1	0.8%
1651933329	1	0.8%
1651933209	1	0.8%
1651838647	1	0.8%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	130
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2001668	1
https://api.tvmaze.com/episodes/2001666	1
https://api.tvmaze.com/episodes/2001665	1
https://api.tvmaze.com/episodes/2000073	1
Other values (125)	125

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	5070
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	130 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.8%
https://api.tvmaze.com/episodes/2001668	1	0.8%
https://api.tvmaze.com/episodes/2001666	1	0.8%
https://api.tvmaze.com/episodes/2001665	1	0.8%
https://api.tvmaze.com/episodes/2000073	1	0.8%
https://api.tvmaze.com/episodes/2000072	1	0.8%
https://api.tvmaze.com/episodes/1997538	1	0.8%
https://api.tvmaze.com/episodes/1997537	1	0.8%
https://api.tvmaze.com/episodes/1988405	1	0.8%
https://api.tvmaze.com/episodes/1985484	1	0.8%
Other values (120)	120	92.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.8%
https://api.tvmaze.com/episodes/2312223	1	0.8%
https://api.tvmaze.com/episodes/1995405	1	0.8%
https://api.tvmaze.com/episodes/2007760	1	0.8%
https://api.tvmaze.com/episodes/1985789	1	0.8%
https://api.tvmaze.com/episodes/2039622	1	0.8%
https://api.tvmaze.com/episodes/2039623	1	0.8%
https://api.tvmaze.com/episodes/2324427	1	0.8%
https://api.tvmaze.com/episodes/2324428	1	0.8%
https://api.tvmaze.com/episodes/2324429	1	0.8%
Other values (120)	120	92.3%

Most occurring characters

Value	Count	Frequency (%)
/	520	10.3%
p	390	7.7%
s	390	7.7%
e	390	7.7%
t	390	7.7%
o	260	5.1%
a	260	5.1%
i	260	5.1%
.	260	5.1%
m	260	5.1%
Other values (16)	1690	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3250	64.1%
Other Punctuation	910	17.9%
Decimal Number	910	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	390	12.0%
s	390	12.0%
e	390	12.0%
t	390	12.0%
o	260	8.0%
a	260	8.0%
i	260	8.0%
m	260	8.0%
h	130	4.0%
d	130	4.0%
Other values (3)	390	12.0%

Decimal Number

Value	Count	Frequency (%)
9	141	15.5%
2	140	15.4%
0	121	13.3%
1	110	12.1%
3	78	8.6%
6	74	8.1%
8	71	7.8%
4	61	6.7%
7	60	6.6%
5	54	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	520	57.1%
.	260	28.6%
:	130	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3250	64.1%
Common	1820	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	520	28.6%
.	260	14.3%
9	141	7.7%
2	140	7.7%
:	130	7.1%
0	121	6.6%
1	110	6.0%
3	78	4.3%
6	74	4.1%
8	71	3.9%
Other values (3)	175	9.6%

Latin

Value	Count	Frequency (%)
p	390	12.0%
s	390	12.0%
e	390	12.0%
t	390	12.0%
o	260	8.0%
a	260	8.0%
i	260	8.0%
m	260	8.0%
h	130	4.0%
d	130	4.0%
Other values (3)	390	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5070	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	520	10.3%
p	390	7.7%
s	390	7.7%
e	390	7.7%
t	390	7.7%
o	260	5.1%
a	260	5.1%
i	260	5.1%
.	260	5.1%
m	260	5.1%
Other values (16)	1690	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1979825	https://www.tvmaze.com/episodes/1979825/sim-for-you-4x17-chanyeols-episode-17	Chanyeol's Episode 17	4.0	17.0	regular	2020-12-03	06:00	2020-12-02T21:00:00+00:00	16.0	None	<p><b>#A refreshing break #I refuse any rewards #Going with the flow</b></p>	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	16.0	2019-03-25	nan	https://www.vlive.tv/video/121637	71.0	nan	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>	1.608499e+09	https://api.tvmaze.com/episodes/1977902
1	1963996	https://www.tvmaze.com/episodes/1963996/257-pricin-ctoby-zit-2x06-seria-19	Серия 19	2.0	6.0	regular	2020-12-03	nan	2020-12-03T00:00:00+00:00	25.0	None	nan	43722	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit	257 причин, чтобы жить	Scripted	Russian	['Drama', 'Comedy']	Ended	25.0	24.0	2020-03-26	2021-01-21	https://start.ru/watch/257-prichin-chtoby-zhit	38.0	nan	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>	1.617284e+09	https://api.tvmaze.com/episodes/2015818
2	1960726	https://www.tvmaze.com/episodes/1960726/psih-1x05-revnost	Ревность	1.0	5.0	regular	2020-12-03	12:00	2020-12-03T00:00:00+00:00	66.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752690.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752690.jpg'}	nan	49280	https://www.tvmaze.com/shows/49280/psih	Псих	Scripted	Russian	['Drama', 'Thriller']	Ended	62.0	62.0	2020-11-05	2020-12-24	https://more.tv/psih	29.0	nan	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>	1.619195e+09	https://api.tvmaze.com/episodes/1964000
3	1954453	https://www.tvmaze.com/episodes/1954453/serlok-v-rossii-1x07-serdce-holmsa-i	Сердце Холмса I	1.0	7.0	regular	2020-12-03	nan	2020-12-03T00:00:00+00:00	50.0	None	nan	49422	https://www.tvmaze.com/shows/49422/serlok-v-rossii	Шерлок в России	Scripted	Russian	['Crime', 'Mystery']	To Be Determined	52.0	51.0	2020-10-22	nan	https://start.ru/watch/sherlok-v-rossii	38.0	nan	nan	1.643091e+09	https://api.tvmaze.com/episodes/1995405
4	1969558	https://www.tvmaze.com/episodes/1969558/neznost-1x10-seria-10	Серия 10	1.0	10.0	regular	2020-12-03	nan	2020-12-03T00:00:00+00:00	21.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/312/781439.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/312/781439.jpg'}	nan	51908	https://www.tvmaze.com/shows/51908/neznost	Нежность	Scripted	Russian	['Drama', 'Comedy', 'Romance']	Ended	19.0	19.0	2020-11-12	2020-12-03	https://www.ivi.ru/watch/nezhnost	2.0	nan	nan	1.620058e+09	https://api.tvmaze.com/episodes/2007760
5	1969559	https://www.tvmaze.com/episodes/1969559/neznost-1x11-seria-11	Серия 11	1.0	11.0	regular	2020-12-03	nan	2020-12-03T00:00:00+00:00	21.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/312/781441.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/312/781441.jpg'}	nan	51908	https://www.tvmaze.com/shows/51908/neznost	Нежность	Scripted	Russian	['Drama', 'Comedy', 'Romance']	Ended	19.0	19.0	2020-11-12	2020-12-03	https://www.ivi.ru/watch/nezhnost	2.0	nan	nan	1.620058e+09	https://api.tvmaze.com/episodes/1985789
6	1979224	https://www.tvmaze.com/episodes/1979224/kotiki-1x04-seria-4	Серия 4	1.0	4.0	regular	2020-12-03	nan	2020-12-03T00:00:00+00:00	13.0	None	nan	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	['Comedy']	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	15.0	nan	nan	1.637555e+09	https://api.tvmaze.com/episodes/2039622
7	1971568	https://www.tvmaze.com/episodes/1971568/mermaid-prince-2x08-episode-8	Episode 8	2.0	8.0	regular	2020-12-03	11:00	2020-12-03T02:00:00+00:00	15.0	None	nan	47207	https://www.tvmaze.com/shows/47207/mermaid-prince	Mermaid Prince	Scripted	Korean	['Drama', 'Romance', 'Mystery']	Ended	15.0	15.0	2020-04-14	2020-12-10	nan	34.0	nan	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>	1.610205e+09	https://api.tvmaze.com/episodes/2039623
8	1985785	https://www.tvmaze.com/episodes/1985785/theres-a-pit-in-my-senior-martial-brothers-brain-2x07-episode-7	Episode 7	2.0	7.0	regular	2020-12-03	11:00	2020-12-03T03:00:00+00:00	20.0	None	nan	38031	https://www.tvmaze.com/shows/38031/theres-a-pit-in-my-senior-martial-brothers-brain	There's a Pit in My Senior Martial Brother's Brain	Animation	Chinese	['Comedy', 'Action', 'Adventure', 'Anime']	Running	20.0	10.0	2018-04-04	nan	https://www.bilibili.com/bangumi/media/md17632/	23.0	nan	nan	1.607965e+09	https://api.tvmaze.com/episodes/2324427
9	1944214	https://www.tvmaze.com/episodes/1944214/quan-zhi-gao-shou-2x11-little-cold-hands	Little Cold Hands	2.0	11.0	regular	2020-12-03	nan	2020-12-03T04:00:00+00:00	20.0	None	nan	24837	https://www.tvmaze.com/shows/24837/quan-zhi-gao-shou	Quan Zhi Gao Shou	Animation	Chinese	['Comedy', 'Action', 'Adventure', 'Anime']	Ended	20.0	20.0	2017-04-06	2020-12-10	https://v.qq.com/detail/3/3r7bnv3gdykfdok.html	65.0	nan	<p>In the multiplayer online game Glory, Ye Xiu is regarded as a textbook and a top-tier pro-player. However, due to a myriad of reasons, he is kicked from the team. After leaving the pro scene, he finds work in an Internet Cafe as a manager. When Glory launches its tenth server, he throws himself in to the game once more. Possessing ten years of experience, the memories of his past, and an incomplete, self-made weapon, his return along the road to the summit begins!</p>	1.607168e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
120	2018675	https://www.tvmaze.com/episodes/2018675/stylish-with-jenna-lyons-1x07-reinventing-date-night	Reinventing Date Night	1.0	7.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	NaN	None	<p>Emotions run high as the remaining associates divide into teams to help Jenna give three couples high-fashion date night transformations.</p>	51845	https://www.tvmaze.com/shows/51845/stylish-with-jenna-lyons	Stylish with Jenna Lyons	Reality	English	[]	Running	NaN	NaN	2020-12-03	nan	nan	25.0	nan	<p><b>Stylish with Jenna Lyons</b> follows Jenna as she tackles design projects that will help define her future business. Join her in this ambitious new venture, delivering a masterclass in taste, design, and fashion in every episode.</p>	1.649684e+09	https://api.tvmaze.com/episodes/2234296
121	2018676	https://www.tvmaze.com/episodes/2018676/stylish-with-jenna-lyons-1x08-dream-job	Dream Job	1.0	8.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	NaN	None	<p>The final associates design their own socially-distant pop-up experiences as they await Jenna's official hiring decision.</p>	51845	https://www.tvmaze.com/shows/51845/stylish-with-jenna-lyons	Stylish with Jenna Lyons	Reality	English	[]	Running	NaN	NaN	2020-12-03	nan	nan	25.0	nan	<p><b>Stylish with Jenna Lyons</b> follows Jenna as she tackles design projects that will help define her future business. Join her in this ambitious new venture, delivering a masterclass in taste, design, and fashion in every episode.</p>	1.649684e+09	https://api.tvmaze.com/episodes/2234297
122	2008331	https://www.tvmaze.com/episodes/2008331/for-the-love-of-jason-1x03-the-single-guy	The Single Guy	1.0	3.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	25.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732255.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732255.jpg'}	<p>Erick's father makes a surprise weekend visit with the hopes of getting to know Lisa better. Patricia urges Jason and Alexandria to settle down. Jason reluctantly rolls solo to his married friends' get-together and the event quickly goes downhill.</p>	51899	https://www.tvmaze.com/shows/51899/for-the-love-of-jason	For the Love of Jason	Scripted	English	['Drama']	Running	NaN	25.0	2020-11-19	nan	https://allblk.tv/fortheloveofjason/	41.0	nan	<p>Jason has always had it together. He's educated and financially stable with no baby mama drama. When he broke off his longtime relationship, he got caught up in the bachelor lifestyle, not realizing life was passing him by. One by one, his friends start settling down, leaving Jason the odd man out. He now feels pressure to catch up and finds himself in awkward dating encounters with women. Through it all, his friends are there to help him along the way.</p>	1.646530e+09	https://api.tvmaze.com/episodes/2236494
123	1974910	https://www.tvmaze.com/episodes/1974910/heavens-gate-the-cult-of-cults-1x01-the-awakening	The Awakening	1.0	1.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	49.0	None	nan	52071	https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	Heaven's Gate: The Cult of Cults	Documentary	English	[]	Ended	NaN	51.0	2020-12-03	2020-12-03	https://www.hbomax.com/heavens-gate	47.0	nan	<p><b>Heaven's Gate: The Cult of Cults</b> is a thorough examination of the infamous UFO cult through the eyes of its former members and loved ones. What started in 1975 with the disappearance of 20 people from a small town in Oregon, ended in 1997 with the largest suicide on US soil and changed the face of modern New Age religion forever. This four-part docuseries uses never-before-seen footage and first-person accounts to explore the infamous UFO cult that shocked the nation with their out-of-this-world beliefs.</p>	1.616784e+09	https://api.tvmaze.com/episodes/1977423
124	1974911	https://www.tvmaze.com/episodes/1974911/heavens-gate-the-cult-of-cults-1x02-the-chrysalis	The Chrysalis	1.0	2.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	50.0	None	nan	52071	https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	Heaven's Gate: The Cult of Cults	Documentary	English	[]	Ended	NaN	51.0	2020-12-03	2020-12-03	https://www.hbomax.com/heavens-gate	47.0	nan	<p><b>Heaven's Gate: The Cult of Cults</b> is a thorough examination of the infamous UFO cult through the eyes of its former members and loved ones. What started in 1975 with the disappearance of 20 people from a small town in Oregon, ended in 1997 with the largest suicide on US soil and changed the face of modern New Age religion forever. This four-part docuseries uses never-before-seen footage and first-person accounts to explore the infamous UFO cult that shocked the nation with their out-of-this-world beliefs.</p>	1.616784e+09	https://api.tvmaze.com/episodes/1976649
125	1974912	https://www.tvmaze.com/episodes/1974912/heavens-gate-the-cult-of-cults-1x03-the-second-harvest	The Second Harvest	1.0	3.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	52.0	None	nan	52071	https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	Heaven's Gate: The Cult of Cults	Documentary	English	[]	Ended	NaN	51.0	2020-12-03	2020-12-03	https://www.hbomax.com/heavens-gate	47.0	nan	<p><b>Heaven's Gate: The Cult of Cults</b> is a thorough examination of the infamous UFO cult through the eyes of its former members and loved ones. What started in 1975 with the disappearance of 20 people from a small town in Oregon, ended in 1997 with the largest suicide on US soil and changed the face of modern New Age religion forever. This four-part docuseries uses never-before-seen footage and first-person accounts to explore the infamous UFO cult that shocked the nation with their out-of-this-world beliefs.</p>	1.616784e+09	https://api.tvmaze.com/episodes/2005096
126	1974913	https://www.tvmaze.com/episodes/1974913/heavens-gate-the-cult-of-cults-1x04-the-exit	The Exit	1.0	4.0	regular	2020-12-03	nan	2020-12-03T17:00:00+00:00	52.0	None	nan	52071	https://www.tvmaze.com/shows/52071/heavens-gate-the-cult-of-cults	Heaven's Gate: The Cult of Cults	Documentary	English	[]	Ended	NaN	51.0	2020-12-03	2020-12-03	https://www.hbomax.com/heavens-gate	47.0	nan	<p><b>Heaven's Gate: The Cult of Cults</b> is a thorough examination of the infamous UFO cult through the eyes of its former members and loved ones. What started in 1975 with the disappearance of 20 people from a small town in Oregon, ended in 1997 with the largest suicide on US soil and changed the face of modern New Age religion forever. This four-part docuseries uses never-before-seen footage and first-person accounts to explore the infamous UFO cult that shocked the nation with their out-of-this-world beliefs.</p>	1.616784e+09	https://api.tvmaze.com/episodes/2005098
127	2236491	https://www.tvmaze.com/episodes/2236491/notruf-hafenkante-15x10-im-rausch	Im Rausch	15.0	10.0	regular	2020-12-03	19:25	2020-12-03T18:25:00+00:00	45.0	None	nan	17046	https://www.tvmaze.com/shows/17046/notruf-hafenkante	Notruf Hafenkante	Scripted	German	['Drama', 'Crime']	Running	45.0	50.0	2007-01-04	nan	https://www.zdf.de/serien/notruf-hafenkante	4.0	nan	nan	1.645352e+09	https://api.tvmaze.com/episodes/2005099
128	1960030	https://www.tvmaze.com/episodes/1960030/goede-tijden-slechte-tijden-31x56-aflevering-6311	Aflevering 6311	31.0	56.0	regular	2020-12-03	20:00	2020-12-03T19:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/712960.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/712960.jpg'}	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2005100
129	1976645	https://www.tvmaze.com/episodes/1976645/wwe-nxt-uk-2020-12-03-episode-49	Episode 49	2020.0	49.0	regular	2020-12-03	15:00	2020-12-03T20:00:00+00:00	60.0	None	nan	39053	https://www.tvmaze.com/shows/39053/wwe-nxt-uk	WWE NXT UK	Sports	English	[]	Running	60.0	60.0	2018-10-17	nan	nan	84.0	nan	<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>	1.652005e+09	https://api.tvmaze.com/episodes/2005101

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